Introducing Redwood Style Transaction Console with Embedded AI

The Transaction Console has been completely redesigned with a modern Redwood interface. More than a visual update, it has been rebuilt from the ground up to deliver a responsive, intuitive user experience enhanced with embedded AI for configuration, guidance, and analytics. Users now have a single, unified console to monitor transactions, manage approval task configurations and rules, interact with AI agents, and review analytics—all within the Redwood console.

Modern Redwood design and seamless rollout:

The Transaction Console now adopts Redwood page layouts, typography, and interaction patterns, providing a clean and intuitive interface that is consistent with other Redwood-enabled HCM features, such as notifications and HR transactions. This rollout is delivered as a seamless upgrade; customers begin using the new Redwood console without additional enablement steps, preserving existing capabilities while adding the new UI and AI enhancements. The modern design enhances visual clarity, reduces clutter, and enables users to complete key tasks—such as searching, filtering, drilling into transaction details, and performing corrective actions—more efficiently.

BPM task configuration directly in Transaction Console:

The Redwood Transaction Console now supports managing most HCM approval task configurations, reducing the need to use the separate BPM Worklist application. From within the console, administrators can review and update task-level settings, such as assignees, behavior, and certain routing options, using a Redwood/VBCS-based UI aligned with transaction monitoring views. This consolidation keeps configuration and runtime monitoring in one place, streamlining workflows and making it easier to ensure that task configurations reflect current business requirements. For exceptional scenarios or advanced options, BPM Worklist remains available.

AI-assisted Approval rules generation and management:

AI-assisted Approval Rules Generation allows administrators to describe approval logic in natural language and automatically generate structured rules in the Redwood Transaction Console. From the Approval Rules area, an AI Assist Rules Builder panel converts plain-text prompts into participants, conditions, and rulesets that appear in the standard configuration UI. The feature uses LLM-based understanding and attribute matching to propose valid rules while still allowing admins to review, fine-tune, or delete generated entries before saving. This capability accelerates rule configuration, reduces dependency on technical experts, and minimizes errors when introducing new approval policies or reorganizing existing ones.

AI-assisted Rules summarization:

AI-assisted Rules Summarization provides a concise, AI-generated explanation of approval configurations directly in the Approval Rules section. For each process, the feature analyzes existing participants, rulesets, and conditions and presents a narrative summary that mirrors the configured routing logic. The summary outlines who approves, under what conditions, and how rules are ordered, helping admins, auditors, and support teams quickly understand complex setups without reviewing each rule node. This improves transparency, shortens the time needed for impact analysis or troubleshooting, and supports better governance over approval design.

AI RAG: Guided Journeys for Transaction Console:

AI RAG–enabled Guided Journeys integrate Oracle HCM AI Agents with the Redwood Transaction Console so users can ask contextual questions about approvals and configuration and receive answers powered by retrieval-augmented generation. Administrators can connect the agent to curated policy documents, configuration guides, and FAQs, and then expose agent-enabled guided journeys directly from console pages. Users can launch the journey from page headers or contextual help actions to get step-by-step guidance or policy explanations while reviewing or configuring transactions. This reduces support overhead, standardizes how policies are interpreted, and makes sophisticated workflows more accessible to new or occasional administrators.

AI-based Transaction Analytics in Transaction Console:

A new Transaction Analytics tab is being introduced into the Transaction Console interface as an AI-based solution. This new tab will provide administrators with immediate, insightful transaction analytics and reporting capabilities, directly within the console. By offering visualizations and key metrics on transaction throughput, status, and performance, this feature will enable proactive management, quick identification of bottlenecks, and more informed decision-making based on real-time data.

AI Agent – Transaction Console assistance:

The AI Agent – Transaction Console assistance feature adds a dedicated AI assistant that understands Transaction Console concepts and can guide users through common monitoring and configuration tasks. Using Oracle’s AI Studio–based agents, customers can configure a domain-specific agent that draws on transaction framework metadata and curated knowledge sources to answer questions in natural language. The assistant can help identify where to look for particular transactions, explain status meanings, suggest next steps for stuck approvals, or direct users to the right configuration page. By providing contextual guidance and real-time insights, it accelerates issue resolution, streamlines administration, reduces the learning curve, and enhances transparency—empowering organizations to manage transactions more efficiently and adapt confidently to evolving business needs.

  • Enhanced User Experience: Faster, more intuitive administration with a modern UI and responsive design.
  • Streamlined Configuration: Reduced context-switching by managing most BPM task configurations directly in the Transaction Console.
  • AI-Driven Efficiency: AI-accelerated rule authoring and understanding, plus upcoming analytics to improve operational decisions and throughput.
  • Conversational Approvals: Conversational approvals and status tracking to increase productivity across devices and channels.

Steps to Enable and Configure

Features Enabled by Default

The following features are now available out of the box:

  • New Redwood-based Transaction Console
  • BPM Task Configuration within Transaction Console
  • AI-based Transaction Analytics in Transaction Console

Enabling AI-Assisted Approval Rule Features

To take advantage of new AI-driven approval rules and summarization capabilities, enable the following profile options:

Required Profile Options

  • AI-assisted Approval Rules Generation and Management:

Create and set the profile option HRC_TXN_RULES_AIASSIST_ENABLED to true.

  • AI-assisted Rules Summarization:

Create and set the profile option HRC_TXN_RULES_SUMMARIZATION_ENABLED to true.

Steps to Create and Enable a Profile Option

  1. Navigate to the Manage Profile Options menu.
  2. Click Create.
  3. Enter the following details:
    • Profile Option: (use the exact name provided above)
    • Profile Display Name: (your chosen display name)
    • Application: Global Human Resources
    • Module: Global Human Resources
    • Start Date: Use a past date, for example, 1/1/51
  4. Under Profile Option Levels at the Site level, check both Enabled and Updateable.

To enable the profile option:

  1. Go to the Setup and Maintenance work area.
  2. Locate and select Manage Administrator Profile Values.
  3. Search for and select the relevant profile option.
  4. Add a new Profile Value:
    • Level: Site
    • Profile Value: true
  5. Click Save and Close.

Key Resources

Access Requirements

The agents you can view depend on the roles and privileges assigned to you. To access an agent, your role must be explicitly granted access to it by an AI Studio Administrator.